Luma's Abra Paper: Diffusion Models Need 10x LLM Data

Luma AI published Abra, a systematic scaling-law study of text-to-image diffusion models spanning three orders of magnitude in compute, finding compute-optimal training requires roughly 10x more data than language models.

2026-08-19 ~ 2026-08-19 · 2 related posts

• Luma Releases Research on Scaling Laws for Diffusion Image Training — lumaai · 2026-08-19
• Luma AI Releases Abra: Diffusion Models Need 10x More Data than LLMs for Scaling — iScienceLuvr · 2026-08-19